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基于多點激光檢測技術(shù)的車轍深度算法對比及橫向偏移誤差研究

發(fā)布時間:2018-08-14 14:59
【摘要】:車轍是瀝青路面的主要病害類型之一,快速、可靠的深度檢測結(jié)果是路面狀況評價與養(yǎng)護(hù)措施選擇的重要依據(jù)。目前廣泛使用的多點激光檢測設(shè)備,一定程度上解決了速度和精度問題,但其可靠性受檢測設(shè)備精度、深度計算原理、檢測過程控制等多種因素影響,這制約了公路養(yǎng)護(hù)管理的科學(xué)化、精細(xì)化發(fā)展。 基于多點激光實測數(shù)據(jù),結(jié)合模擬斷面,對車轍深度算法及橫向偏移誤差進(jìn)行對比研究。以江蘇省某國道為依托,在對比國內(nèi)外評價指標(biāo)的基礎(chǔ)上確定了車轍產(chǎn)生的臨界深度,,并劃分出輕、中、重三檔嚴(yán)重等級,分析檢測路段車轍形狀和深度分布情況;在明確國內(nèi)車轍主要成因的前提下,結(jié)合現(xiàn)場調(diào)研結(jié)果,分析其典型斷面特征,并建立了車轍成因與形狀間的關(guān)系。其次,針對規(guī)范定義的車轍形狀,找出不同算法存在差異的斷面,選定車轍形狀和深度兩個影響因素,以真實車轍斷面和模擬斷面相結(jié)合的方式,研究這兩種因素對算法差值的影響結(jié)果,并給出具體的車轍一維橫斷面影響指標(biāo)。最后,基于車轍深度計算原理探討橫向偏移的誤差產(chǎn)生機(jī)理,從車輛偏移和車轍橫斷面兩個角度出發(fā),選取了橫向偏移距離和方向、車轍形狀和深度四個影響指標(biāo),評價不同偏移條件下的誤差變化規(guī)律,并給出限定偏移誤差下的容許偏移距離。 本文針對車轍深度計算過程中的誤差進(jìn)行研究,旨在提高深度檢測結(jié)果的可靠度,是對我國現(xiàn)有車轍檢測技術(shù)的完善。研究能提升我國高速公路瀝青路面的車轍檢測分析水平,對推進(jìn)公路養(yǎng)護(hù)管理的科學(xué)化、精細(xì)化建設(shè)具有重要意義。
[Abstract]:Rutting is one of the main types of asphalt pavement diseases. Rapid and reliable depth detection results are the important basis for pavement condition evaluation and maintenance measures selection. The problem of speed and precision is solved to some extent by the widely used multipoint laser detection equipment, but its reliability is affected by many factors, such as the precision of the detecting equipment, the principle of depth calculation, the control of the testing process, and so on. This restricts the scientific development of highway maintenance management. Based on the measured data of multi-point laser and the simulated section, the algorithm of rutting depth and the error of lateral migration are compared and studied. Based on a national highway in Jiangsu Province, the critical depth of rutting is determined on the basis of comparing the domestic and foreign evaluation indexes, and the serious grades of light, medium and heavy grade are classified, and the distribution of rut shape and depth is analyzed. On the premise of defining the main causes of rutting in China and combining with the results of field investigation, the typical cross-section characteristics of ruts are analyzed, and the relationship between rutting causes and shapes is established. Secondly, according to the rutting shape defined by the specification, the section with different algorithms is found out, and two factors, the rutting shape and depth, are selected, and the real rutting section and the simulated section are combined with each other. The effect of these two factors on the difference of the algorithm is studied, and the influence index of one dimensional cross section of the rut is given. Finally, based on the calculation principle of rutting depth, the error generation mechanism of lateral migration is discussed. From two angles of vehicle migration and rutting cross section, four influencing indexes are selected, such as the distance and direction of lateral migration, rut shape and depth. The law of error variation under different migration conditions is evaluated, and the allowable offset distance under limited offset error is given. In this paper, the error in the calculation of rut depth is studied in order to improve the reliability of the result of depth detection, and it is the perfection of the existing rutting detection technology in China. The research can improve the rut detection and analysis level of highway asphalt pavement in our country, and it is of great significance to promote the scientific and fine construction of highway maintenance and management.
【學(xué)位授予單位】:長安大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:U418.68

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